Design and develop scalable data architectures and cloud-based data solutions using GCP.
Build and maintain data pipelines using BigQuery, Dataflow, Dataform, and other GCP data services.
Collaborate with technical and business stakeholders to translate requirements into reliable data products.
Huge is an independent, human-first AI-native design and technology company. They bring together more than 1,000 design and technology experts worldwide to partner with ambitious brands.
Design, build, and deploy data pipelines in the cloud to ingest data from various sources like databases, APIs, and streaming platforms.
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to integrate and transform data for analysis.
Lead client discussions to identify improvement opportunities and effectively convey technical concepts to non-technical stakeholders.
Lingaro is a data engineering and analytics company specializing in cloud-based data solutions on GCP. The company fosters a collaborative, multinational culture with distributed teams.
Lead the design and implementation of data science initiatives, defining methodologies and best practices.
Develop, evaluate, and optimize machine learning models to solve complex business problems.
Own the complete data science lifecycle from data exploration to deployment and monitoring.
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end, working with international clients and building long-term partnerships through technical excellence.
Design, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Design, architect, and develop robust GCP data pipelines for healthcare data solutions.
Maintain a holistic view of information assets through documentation and create technical design specs.
Collaborate with cross-functional teams to drive ML and data engineering initiatives that improve patient outcomes.
Egen is a data-first consulting company leveraging Google Cloud and Salesforce to help clients drive impact through data. It is a fast-growing, entrepreneurial firm with a culture focused on learning, innovation, and solving tough problems.
Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Develop and maintain user-facing reports and analytics products that help customers understand workforce data and identify opportunities for improvement.
Build scalable data models and pipelines in Google BigQuery, applying statistical methods to generate actionable insights.
Collaborate with cross-functional teams and work with AI agents to automate workflows and surface intelligent insights.
The company provides an AI-focused SaaS platform that helps customers understand workforce performance and identify opportunities for improvement. It operates with a distributed, remote team and emphasizes cross-functional collaboration and data-driven decision-making.
Lead the GCP data engineering practice, defining technical vision for data modeling, ingestion, lakehouse architectures, and cloud cost optimization.
Oversee end-to-end design and deployment of enterprise data platforms using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
Drive GenAI enablement by building production data pipelines, vector search infrastructure, and RAG frameworks using Vertex AI and BigQuery ML.
TTEC Digital coaches clients to ensure employees feel valued and fully supported, fostering an employee-first approach to exceptional customer experience. With 1,800+ employees and a sister company of 60,000+, they are Great Place To Work certified and committed to diversity and inclusion.
Drive the technical and product roadmap by contributing innovative ideas and estimating effort for high-velocity execution.
Collaborate with product managers and engineers to translate abstract business needs into scalable technical implementations.
Own end-to-end responsibility for complex initiatives, from scoping with stakeholders to production deployment and maintenance.
TrueML is a mission-driven financial software company that uses machine learning to create better digital experiences for distressed borrowers. The team includes inspired data scientists, financial services experts, and customer experience fanatics building technology to ensure nobody gets locked out of the financial system.
Bridge business needs and AI engineering to deliver production-ready solutions for enterprise customers.
Partner with cross-functional teams to identify high-value opportunities and turn them into scalable deployments.
Take complex workflows from discovery and prototyping through production adoption and optimization.
The company is a technology firm specializing in AI-powered enterprise solutions. It fosters a collaborative culture focused on innovation and continuous learning, with a team of professionals dedicated to driving customer success.
Migrate data workloads from legacy SQL Server to modern cloud platforms.
Design and maintain production-grade ETL/ELT pipelines and analytical data models.
Collaborate with analysts and stakeholders to translate complex requirements into robust cloud solutions.
The company is a technology organization focused on modernizing data infrastructure and building scalable cloud-based data products. It operates in a globally distributed environment with a focus on engineering best practices and AI-assisted automation.
Design and implement scalable cloud data architectures using GCP and BigQuery.
Collaborate with engineering teams and business stakeholders to translate requirements into data solutions.
Establish data governance, security, and best practices across platforms.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience, they have a close-knit LATAM remote team and value autonomy, open communication, and diversity.
Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
Transform complex data into actionable insights, develop features and training datasets within Snowflake and dbt, and use Python and SQL for feature engineering and machine learning.
Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
The client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.